Srikanth Girijala Emcdsa
GenAI Evangelist and Risk and Compliance Technology Industry leader
- Role
- Enterprise Solution Architect - Genai & Ai Coe at Tata Consultancy Services
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Srikanth Girijala Emcdsa
I’m passionate about building practical and high-impact AI solutions that transform how…
Experience
Enterprise Solution Architect - Genai & Ai Coe
Mar 2021 — Present · Hyderabad, IN
Architected large-scale platforms leveraging frameworks like LangGraph, CrewAI, Autogen, and LangChain, integrating memory-based agents, decision routing, and reactive planning across adverse media analysis, regulatory compliance, and vendor risk assessment.• Spearheaded the implementation of enterprise-grade Generative AI solutions using GPT-4 Turbo, Claude 3, and Gemini, embedded with prompt engineering, orchestration pipelines, and responsible AI guardrails aligned to BFSI governance frameworks• Architected Retrieval Augmented Generation (RAG) pipelines for high-stakes financial compliance and risk use cases, integrating enterprise search, vector databases (FAISS, SentenceTransformers), and Large Language Models (LLM)(GPT-4, Claude) to deliver grounded, context-aware, and regulation-aligned responses with factual traceability and legal audit readiness• Narrative Intelligence & Cognitive Automation: Designed AI agents for automated SAR narrative generation, obligation drafting, and AML alert summarization using Large Language Models(LLM), integrating prompt chaining, OpenAI function calling, and semantic traceability• Delivered robust ML solutions for AML case prioritization, control effectiveness testing, and billing code classification, using ensemble techniques and SHAP/LIME explainability frameworks• Designed traditional and transformer-based NLP pipelines with semantic similarity, hybrid clustering, LSA, and named entity recognition, powering real-time adverse event detection and regulatory mapping• Led validation frameworks for GenAI and NLP models using metrics such as ROUGE, BLEU, and factual consistency for Agentic AI RAG and fine tuned Large Language Models (LLM) pipelines. Delivered end-to-end pipelines for model resilience, calibration, and traceability
Education
Woxsen University
Doctor of Philosophy - PhD
Pursuing
Doctor of Philosophy - PhD
Osmania University
Master of Business Administration (M.B.A.)
1999 — 2001
Woxsen University
Doctor of Philosophy - PhD, Artificial Intelligence
Woxsen University
Doctor of Philosophy - PhD, Machine Learning
Skills
- Requirement Management
- Context Diagrams
- Nosql
- Python
- Cluster Analysis
- Support Vector Machine (Svm)
- Workflow Diagrams
- Linear Regression
- Artificial Neural Networks
- Logistic Regression
- Activity Diagrams
- Data Science
- Sas
- Oracle
- Project Management
- Decision Trees
- Data Analysis
- Pca
- Kernel-Based Virtual Machine (Kvm)
- Machine Learning
- Er Diagrams
- Systems Analysis
- Use Case Modeling
- Business Analysis
- R
- Workshop Facilitation
- Hadoop
- Data Analytics
- Requirement Elicitation
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